文件名称:libsvm-2.89

  • 所属分类:
  • 其他小程序
  • 资源属性:
  • [MacOS] [C/C++] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 505kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • ohre*****
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

SVM, Support Vector Machine , 簡而言之它是個起源跟類神經網路有點像的東西, 不過現今最常拿來就是做分類 (classification)。 也就是說,如果我有一堆已經分好類的東西 (可是分類的依據是未知的!) ,那當收到新的東西時, SVM 可以預測 (predict) 新的資料要分到哪一堆去。 -SVM, Support Vector Machine , is something that has similar roots with neural networks. But recently it has been widely used in Classification. That means, if I have some sets of things classified (But you know nothing about HOW I CLASSIFIED THEM, or say you don t know the rules used for classification), when a new data comes, SVM can PREDICT which set it should belong to.

相关搜索: libsvm
2

(系统自动生成,下载前可以参看下载内容)

下载文件列表

libsvm-2.89

...........\COPYRIGHT

...........\FAQ.html

...........\heart_scale

...........\java

...........\....\libsvm

...........\....\......\svm.java

...........\....\......\svm.m4

...........\....\......\svm_model.java

...........\....\......\svm_node.java

...........\....\......\svm_parameter.java

...........\....\......\svm_print_interface.java

...........\....\......\svm_problem.java

...........\....\libsvm.jar

...........\....\Makefile

...........\....\svm_predict.java

...........\....\svm_scale.java

...........\....\svm_toy.java

...........\....\svm_train.java

...........\....\test_applet.html

...........\Makefile

...........\Makefile.win

...........\python

...........\......\cross_validation.py

...........\......\Makefile

...........\......\README

...........\......\setup.py

...........\......\svm.py

...........\......\svmc.i

...........\......\svmc_wrap.c

...........\......\svm_test.py

...........\......\test_cross_validation.py

...........\README

...........\svm-predict.c

...........\svm-predict.obj

...........\svm-scale.c

...........\svm-toy

...........\.......\gtk

...........\.......\...\callbacks.cpp

...........\.......\...\callbacks.h

...........\.......\...\interface.c

...........\.......\...\interface.h

...........\.......\...\main.c

...........\.......\...\Makefile

...........\.......\...\svm-toy.glade

...........\.......\qt

...........\.......\..\Makefile

...........\.......\..\svm-toy.cpp

...........\.......\windows

...........\.......\.......\svm-toy.cpp

...........\svm-toy.obj

...........\svm-train.c

...........\svm-train.obj

...........\svm.cpp

...........\svm.h

...........\svm.obj

...........\tools

...........\.....\checkdata.py

...........\.....\easy.py

...........\.....\grid.py

...........\.....\README

...........\.....\subset.py

...........\windows

...........\.......\heart_scale

...........\.......\heart_scale.model

...........\.......\heart_scale.out

...........\.......\oh.model

...........\.......\python

...........\.......\......\svmc.pyd

...........\.......\svm-predict.exe

...........\.......\svm-scale.exe

...........\.......\svm-toy.exe

...........\.......\svm-train.exe

...........\.......\test.model

...........\.......\test.out

...........\.......\test_predict

...........\.......\test_scale

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